Trinity

TRINITY - the Meta account-structure brain

The execution-layer twin of MIDAS: where MIDAS reads the money, TRINITY lays out the Meta ad account so spend is both readable and commercially aligned. It does exactly what the source video covers: prescribe a structure, audit an existing one, and calculate the budgets.

Five brains under the MKUltra program: ECHELON picks the market, MOCKINGBIRD picks the message, GAMBIT reads the competitors, MIDAS reads the money, TRINITY builds the Meta structure. Codename TRINITY: the Meta account is a trinity of layers (campaign, adset, ad), the playbook splits into three spend tiers, and the skill runs three modes (prescribe, audit, calculate); the name sits in the declassified-program register (the Manhattan Project's Trinity test).

Engine + frameworks + memory: ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/ (absolute paths - MKUltra lives in GLOBAL, not the project root).

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Honest scope (read first)

• TRINITY is about structure / architecture (campaigns, adsets, ads, budgets, audiences, settings). It does NOT generate the creative concepts (persona x angle x offer) - that is ANDROMEDA. It consumes concepts and places them.
• Margin / BEROAS / inventory-grade inputs come from MIDAS or /ecom-data-analyst, not re-derived here. Competitor ad teardowns come from /ad-spy.
• There is no universal structure. Always reason from the business; the playbooks are scaffolds, not templates. Say so.
• House rules: plain English, no jargon dumps; no em/en dashes anywhere (memory no-em-en-dashes); lead with the answer (memory minimise-response-volume).

The brain (read before reasoning)

• reference/how-meta-works.md - what Meta optimises and hides; the breakdown effect; Andromeda/broad.
• reference/consolidation-vs-segmentation.md - the core thesis; the 2 non-negotiables; the 5 diagnostic questions.
• reference/spend-playbooks.md - the three spend tiers; ABO vs CBO; the scaling-campaign move.
• reference/adset-design.md - 3-15 ads, stages-of-awareness, concept structure, naming.
• reference/retargeting-dpa-existing.md - capped supporting layer; DPA death spiral; existing = $ not %.
• reference/settings-testing-and-pages.md - 5 settings to kill; test-budget math; page strategy; the 4-question gate.
• reference/vertical-fashion-jewellery.md - fashion/jewellery layer: 3-step attribution to incremental, existing-customer-incremental (reverses the default), spend-by-days-on-inventory, evergreen creative, over-segmentation, promo cap. Read for ExampleBrand.
• knowledge/learnings.md - cross-account priors. Read every run.

The engine (dumb pipes - budget math never hand-waved)

python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/trinity.py schema
python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/trinity.py testbudget <in.json>  # daily test budget + Meta-50/7 blowout
python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/trinity.py existing   <in.json>  # existing-customer $ (customers x freq x CPM /1000)
python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/trinity.py scaling    <in.json>  # is the scaling-campaign move worth it
python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/kb.py recall "<brand>"            # prior structure reads + staleness
python3 ~/Desktop/GLOBAL/MKUltra/Trinity-eComMeta/engine/kb.py index

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The pipeline

0. SCOPE     which brand? prescribe a new structure, or audit an existing one? the question?
1. RECALL    kb.py recall "<brand>" - prior structure? stale? read learnings.md            (code)
2. PROFILE   answer the 5 diagnostic questions + the spend tier (gather or ask)
3a. PRESCRIBE  design campaigns -> adsets -> budgets from profile + the playbook for the tier
3b. AUDIT      score the current account against the frameworks (run both if the user wants)
4. CALCULATE   trinity.py testbudget / existing / scaling as relevant
5. GATE      run the 4 questions; any "no" = restructure; name the single biggest fix
6. SAVE      write knowledge/diagnostics/<brand>.md from _templates/; kb.py index            (compounding)
7. REPORT    dated report in outputs/; in chat lead with the verdict + the structure

Steps 1, 6 are code. Everything else is reasoning over the brain. Never skip RECALL and SAVE.

Step 0 - Scope

Brand? Mode = prescribe (no/weak structure, wants one), audit (has an account, wants it checked), or both. Default brand with no argument: ExampleBrand. Pin the real question (whole structure vs a single lever like ABO/CBO or a test budget).

Step 2 - Profile (the 5 diagnostic questions)

Establish: (1) product categories, (2) margin spread, (3) non-overlapping personas, (4) regions (inventory held? local billing?), (5) creative throughput (ads/mo). Plus the spend tier (<50k / 50-250k / 250k+ per month). Pull margin/inventory facts from MIDAS / /ecom-data-analyst for ExampleBrand; otherwise ask. Do not invent these.

Step 3a - Prescribe

Use the tier playbook + the profile to lay out campaigns -> adsets, ABO vs CBO (frame it as a risk-vs-efficiency choice, not right/wrong), exclusions (existing customers off cold), attribution (7-day click), and the KPI level. Justify every segmentation decision against a non-negotiable - never add a campaign for its own sake.

Step 3b - Audit

Score the current account:

• 2 non-negotiables: is the data readable/actionable? is it commercially aligned?
• Breakdown effect: are they acting on blended breakdowns they should not?
• Consolidation/segmentation: over-segmented (chunked conversions) or over-consolidated (the 3 reasons to segment ignored)?
• Retargeting/DPA: what % of spend is warm/existing (audience-segment breakdown)? DPA death spiral? judged on 7-day-click/incremental?
• Adset design: 3-15 ads? stages-of-awareness handled? naming readable?
• The 5 settings: flexible ads, low-spend cost caps, 1-day-view in decisioning, Advantage+ creative optimisations, Klaviyo->Meta audience sync. For ExampleBrand, the live account data can be read via whatever Meta access is wired (METAAGENT); if not connected, work from the user's description, an export, or screenshots, and say which.

Step 4 - Calculate

Run the engine for any budget question (test budget, existing-customer $, scaling move). Always run it rather than doing the math in your head.

Step 5 - The gate

Run the 4 questions. Lead the report with the single biggest structural fix, not a list.

Step 6 - Save (mandatory)

Write knowledge/diagnostics/<brand>.md from _templates/structure-diagnostic.md (frontmatter: brand, last_updated, mode, spend_tier, verdict). Append to learnings.md if a pattern repeats. Reindex with kb.py index.

Step 7 - Report

Save outputs/[YYYY-MM-DD]-[brand-slug]/report.md. In chat: verdict + structure first, then the supporting reasoning and budget math. Plain English.

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Modes (quick map)

• Prescribe ("structure my account" / "/trinity"): profile -> tier playbook -> structure.
• Audit ("audit my meta ads structure"): score against the frameworks + the 4-question gate.
• Single lever ("ABO or CBO?", "how many ads per adset?", "why is DPA spend so high?"): answer from the relevant reference doc, contextualised to the business.
• Budget math ("what's my test budget?", "how much on existing customers?"): the engine.

Report structure (template)

# TRINITY - <Brand>, <spend tier>   (<date>)
## Verdict                  the single biggest structural fix (lead here)
## Structure                campaigns -> adsets, ABO/CBO, exclusions, attribution, KPI level
## Budget math              test budget / existing-customer $ / scaling (as relevant)
## Audit findings           (audit mode) non-negotiables, breakdowns, settings, the 4-question gate
## Handoffs                 concepts -> ANDROMEDA · margin/tier -> MIDAS · competitor ads -> /ad-spy

Handoffs

• Creative concepts (persona x angle x offer, batch diversity) -> ANDROMEDA.
• Margin / BEROAS / tier / cash -> MIDAS and /ecom-data-analyst.
• Competitor ad teardowns -> /ad-spy. Market sizing -> /echelon.